eCommerce Data Engineer

Maxwood Furniture

. Manage all Microsoft Fabric dataflows and pipelines, minimizing downtime and failures .

Posted 10/8/2026full-timeDaniel Island • South Carolina • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing Microsoft Fabric dataflows and pipelines, with a strong focus on optimizing data access and usability for AI and machine learning workloads. Proficient in SQL, Python, and cloud data platforms, with a solid understanding of data warehousing concepts and modern ETL/ELT tools.

Highest-signal resume keywords

Microsoft Fabric ManagementSQL ProficiencyAzure Services FamiliarityData Warehousing ConceptsETL/ELT Tools Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythonSparkData EngineeringData AnalyticsRelational DatabasesData WarehousingAPI IntegrationError ReportingCapacity Management

Soft Skills

Problem-SolvingAttention to DetailWillingness to Learn

Tools & Technologies

Microsoft FabricAzure SQLAzure SynapseAzure Data FactoryPower BISQL ServerSSMS

Industry Keywords

DataflowsPipelinesData IntegrationAI-Ready Data WarehouseOperational Best Practices

Tech Stack

Tools & technologies

AzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Manage all Microsoft Fabric dataflows and pipelines, minimizing downtime and failures
Establish and maintain API connections and external data integrations
Create standardized error reporting
Manage resource allocation and capacity management within Azure
Work alongside AI Specialists to ensure data is structured, governed, and optimized for AI and machine learning workloads
Help optimize data access and usability for Data Engineers and BI Specialists
Document processes, configurations, and operational best practices
Work closely with Data Engineers, BI Analysts, and AI Specialists to scale and operate an AI-ready data warehouse infrastructure

Requirements

What you’ll need

3+ years of experience in a database, data engineering, or analytics role
Elevated understanding of relational databases and data warehousing concepts
Proficiency with SQL, Python, Spark, etc.
Strong knowledge of cloud data platforms and modern ETL/ELT tools
Problem-solving skills and attention to detail
Willingness to learn new tools and technologies in a fast-evolving environment
Experience with Microsoft Fabric preferred
Familiarity with Azure services (e.g., Azure SQL, Synapse, Data Factory) preferred
Exposure to other Microsoft data tools such as Power BI, SQL Server, and SSMS preferred

Benefits

Comp & perks

401(k) with Company Match
Health, Dental, Vision, and Life Insurance
Flexible Spending Account (FSA)
Employee Assistance Program (EAP)
Paid Time Off
Flexible Schedule